Medical AI Search Lab
How is your clinic read by AI?
Search is shifting — from choosing links to asking AI and narrowing down candidates. For a medical practice, appearing in search results is no longer the only thing that matters.
When a patient brings their concerns to an AI, that AI needs the right information to understand your clinic correctly, include it among the options, and keep it in the running as a candidate.
Medical AI Search Lab examines how clinics are surfaced as candidates, how competitors compare, which sources are cited, and how often a clinic survives across a conversation — then turns those findings into concrete improvement tasks, delivered as an improvement brief.
Core Theses
Three premises behind this lab
These are the working premises we share when observing how medical institutions are treated by AI search.
- 01
AI search is shifting from "rankings" toward presenting comparative candidates
Increasingly, in response to a patient's question, doctors and clinics are surfaced as a shortlist with reasoning — not a single ranked list.
- 02
A single query doesn't reveal the full picture
AI responses vary with model updates, retrieved sources, query phrasing, and conversational context. One-off questions can mislead.
- 03
The competitors AI surfaces don't necessarily match real-world competitors
AI may shortlist clinics from a different catchment area or patient segment, resulting in comparative candidates that diverge from on-the-ground competition.
Service Brief
What we deliver
We do not provide website development retainers or general SEO consulting agreements. The deliverables are observational reports and improvement briefs.
Step 01
Verification report
We observe how a clinic is recognized, compared, and shortlisted by AI search engines and agents across multiple conditions.
Step 02
Competitor candidate analysis
We surface which clinics get presented alongside yours when AI shortlists comparison candidates, and why — including citation source patterns.
Step 03
Citation source analysis
We trace which third-party pages AI is drawing from, and where the gaps between current sources and editorial best practice lie.
Step 04
Improvement brief
We translate observations into a prioritized list of editorial / structural improvement points — not a vendor lock-in.
Step 05
Re-verification
After improvements are applied, we re-run the verification protocol to observe whether the AI-surface signal has shifted.
We do not guarantee display in AI search results, recommendation by AI agents, citation by any specific platform, or improvement of search rankings. Our work centers on observation, structuring, and editorial improvement points.
Articles
Articles are currently available in Japanese only
The article corpus of Medical AI Search Lab is published in Japanese. Service inquiries in English (or Japanese) are welcome. For organizations operating clinics in Japan that serve international patients, we can scope verification protocols that cover queries in multiple languages.
Contact
Discuss how your clinic is surfaced by AI search
Tell us about your situation and what you'd like to verify. We will respond by email and propose a verification scope.
We do not guarantee specific outcomes such as ranking improvement, AI citation, or recommendation by any AI agent.
anesthlink@sugaritzinc.com
- Operator
- 株式会社Sugaritz (Medical AI Search Lab — 医療機関AI検索ラボ事業)
- Representative
- 代表取締役 佐藤逸郎
- Address
- 〒530-0001 大阪府大阪市北区梅田3丁目2番123号 イノゲート大阪10階
- anesthlink@sugaritzinc.com
- Supervisor
- 佐藤逸郎 (麻酔科医)